Machine Learning Engineer Python AWS MLOps

Machine Learning Engineer (Python AWS MLOps) London / WFH to £60k

Are you a Machine Learning technologist with strong Python and AWS skills? You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities.

As a Machine Learning Engineer you'll be focused on engineering, with around 80% of your time spent building and maintaining ML infrastructure, deploying and monitoring models, developing CI/CD pipelines, improving MLOps processes, refactoring code and adding new capabilities to existing ML services. You'll also gain exposure to model development, with plenty of opportunity to grow your data science skills over time.

There's an open, collaborative environment where learning and personal development are key and there's a strong pipeline of projects as well as flexible working and a host of benefits; the company has been awarded Platinum standard by Investors in People and is multi-award winning with various DEI initiatives and excellent personal growth and career development opportunities.

You’ll join colleagues in the London office twice a week with flexibility to work from home the other days.

• You have experience in a similar Machine Learning / ML Ops role with experience of building and maintaining scalable data pipelines and ML platforms
• You have a strong understanding of software engineering best practices (clean code, SOLID principles, design patterns) combined with Python coding skills
• You have AWS experience
• You're able to dig into system performance to optimise data pipelines and workflows
• You're familiar with containerisation (Docker) and CI/CD tools
• You're degree educated in a relevant STEM discipline

• Salary to £60k + bonus
• 25 days holiday (with the option to buy 5 more)
• Flexible working (including working from home start / finish times)
• Enhanced maternity and paid parental leave packages
• Time off to participate in charity initiatives such as Code Club
• Pension, Life Assurance, Medical care
• Monthly Wellness budget to spend on what you like
• Gym membership
• Annual home office budget
• Diverse, inclusive team culture with flexible working

Apply now to find out more about this Machine Learning Engineer (Python AWS MLOps) opportunity.